1.9k citations · 2.2k across the 5 of their papers we have counts for
5 papers
Co-Training Vision Language Models for Remote Sensing Multi-task Learning
Qingyun Li, Shuran Ma, Junwei Luo +8
With Transformers achieving outstanding performance on individual remote sensing (RS) tasks, we are now approaching the realization of a unified model that excels across multiple t…
Spectral-Spatial Mamba for Hyperspectral Image Classification
Lingbo Huang, Yushi Chen, Xin He
Recently, deep learning models have achieved excellent performance in hyperspectral image (HSI) classification. Among the many deep models, Transformer has gradually attracted inte…
Deep Learning for Hyperspectral Image Classification: An Overview
Shutao Li, Weiwei Song, Leyuan Fang +3
Hyperspectral image (HSI) classification has become a hot topic in the field of remote sensing. In general, the complex characteristics of hyperspectral data make the accurate clas…
Spectral-Spatial Classification of Hyperspectral Image Using Autoencoders
Zhouhan Lin, Yushi Chen, Xing Zhao +1
Hyperspectral image (HSI) classification is a hot topic in the remote sensing community. This paper proposes a new framework of spectral-spatial feature extraction for HSI classifi…
Learning Contextual Dependencies with Convolutional Hierarchical Recurrent Neural Networks
Zhen Zuo, Bing Shuai, Gang Wang +3
Existing deep convolutional neural networks (CNNs) have shown their great success on image classification. CNNs mainly consist of convolutional and pooling layers, both of which ar…